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Computational Modeling of Drugs Against Alzheimer`s Disease, Kunal Roy


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Автор: Kunal Roy
Название:  Computational Modeling of Drugs Against Alzheimer`s Disease
ISBN: 9781493984756
Издательство: Springer
Классификация:

ISBN-10: 1493984756
Обложка/Формат: Soft cover
Страницы: 645
Вес: 1.24 кг.
Дата издания: 2018
Серия: Neuromethods
Язык: English
Издание: Softcover reprint of
Иллюстрации: 131 tables, color; 158 illustrations, color; 64 illustrations, black and white; xvii, 645 p. 222 illus., 158 illus. in color.
Размер: Book (Paperback Initiative)
Читательская аудитория: Professional & vocational
Основная тема: Biomedicine
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume describes different computational methods encompassing ligand-based approaches (QSAR, pharmcophore), structure-based approaches (homology modeling, docking, molecular dynamics simulation), and combined approaches (virtual screening) with applications in anti-Alzheimer drug design. Different background topics like molecular etiologies of Alzheimer’s disease, targets for new drug development, and different cheminformatic modeling strategies are covered for completeness. Special topics like multi-target drug development, natural products, protein misfolding, and nanomaterials are also included in connection with computational modeling of anti-Alzheimer drug development. In Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. 

Cutting-edge and authoritative, Computational Modeling of Drugs Against Alzheimer’s Disease is a valuable resource for learning about the latest computational techniques used to study this disease. 



Дополнительное описание:
Alzheimer’s Disease Therapy: Present and Future Molecules.- Recent Advances in Computational Approaches for Designing Potential Anti-Alzheimer’s Agents.- Computer-Aided Drug Design Approaches to Study Key Therapeutic Targets in Alzheimer’s Disease.- 



Computational Medicine in Data Mining and Modeling

Автор: Goran Rakocevic; Tijana Djukic; Nenad Filipovic; V
Название: Computational Medicine in Data Mining and Modeling
ISBN: 1461487846 ISBN-13(EAN): 9781461487845
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The authors focus on applying data mining to the medical domain, including mining the sets of clinical data typically found in patient`s medical records, image mining, medical mining, data mining and machine learning applied to generic genomic data and more.

A Mathematical Primer of Molecular Phylogenetics

Автор: Xia
Название: A Mathematical Primer of Molecular Phylogenetics
ISBN: 1771887559 ISBN-13(EAN): 9781771887557
Издательство: Taylor&Francis
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Цена: 17762.00 р.
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Описание: The volume provides sufficient mathematical background for young mathematicians and computational scientists, as well as mathematically inclined biology students, to make a smooth entry into the expanding field of molecular phylogenetics.

Inference and computational modeling in molecular systems biology

Автор: Angela Re
Название: Inference and computational modeling in molecular systems biology
ISBN: 0081000952 ISBN-13(EAN): 9780081000953
Издательство: Elsevier Science
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Цена: 25602.00 р.
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Описание:

Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems.

This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling.

The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists.

Trends in Biomathematics: Modeling, Optimization and Computational Problems

Автор: Mondaini
Название: Trends in Biomathematics: Modeling, Optimization and Computational Problems
ISBN: 3319910914 ISBN-13(EAN): 9783319910918
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book brings together carefully selected, peer-reviewed works on mathematical biology presented at the BIOMAT International Symposium on Mathematical and Computational Biology, which was held at the Institute of Numerical Mathematics, Russian Academy of Sciences, in October 2017, in Moscow.

Computational modeling of cognition and behavior

Автор: Farrell, Simon (university Of Western Australia, Perth) Lewandowsky, Stephan (university Of Bristol)
Название: Computational modeling of cognition and behavior
ISBN: 1107525616 ISBN-13(EAN): 9781107525610
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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Описание: This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.

Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells

Автор: Greg Conradi Smith
Название: Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
ISBN: 1107005361 ISBN-13(EAN): 9781107005365
Издательство: Cambridge Academ
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Цена: 15046.00 р.
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Описание: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.

Computational Modeling of Cognition and Behavior

Автор: Simon Farrell, Stephan Lewandowsky
Название: Computational Modeling of Cognition and Behavior
ISBN: 110710999X ISBN-13(EAN): 9781107109995
Издательство: Cambridge Academ
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Цена: 21226.00 р.
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Описание: This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.

Trends in Biomathematics: Modeling, Optimization and Computational Problems

Автор: Rubem P. Mondaini
Название: Trends in Biomathematics: Modeling, Optimization and Computational Problems
ISBN: 3030081753 ISBN-13(EAN): 9783030081751
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
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Описание: This book brings together carefully selected, peer-reviewed works on mathematical biology presented at the BIOMAT International Symposium on Mathematical and Computational Biology, which was held at the Institute of Numerical Mathematics, Russian Academy of Sciences, in October 2017, in Moscow. Topics covered include, but are not limited to, the evolution of spatial patterns on metapopulations, problems related to cardiovascular diseases and modeled by boundary control techniques in hemodynamics, algebraic modeling of the genetic code, and multi-step biochemical pathways. Also, new results are presented on topics like pattern recognition of probability distribution of amino acids, somitogenesis through reaction-diffusion models, mathematical modeling of infectious diseases, and many others. Experts, scientific practitioners, graduate students and professionals working in various interdisciplinary fields will find this book a rich resource for research and applications alike.

Computational Modeling of Biological Systems

Автор: Nikolay V Dokholyan
Название: Computational Modeling of Biological Systems
ISBN: 1489987509 ISBN-13(EAN): 9781489987501
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book provides an overview of emerging computational methods for modeling biologically and medically relevant systems. The book describes multiple methods for modeling, visualizing and rationally altering systems at various length scales.

Advanced Computational Methods in Life System Modeling and Simulation

Автор: Minrui Fei; Shiwei Ma; Xin Li; Xin Sun; Li Jia; Zh
Название: Advanced Computational Methods in Life System Modeling and Simulation
ISBN: 9811063699 ISBN-13(EAN): 9789811063695
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017.

Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

Автор: David Holcman
Название: Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology
ISBN: 3319626264 ISBN-13(EAN): 9783319626260
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Part I: Stochastic Chemical Reactions.- Test Models for Statistical Inference: Two-Dimensional Reaction Systems Displaying Limit Cycle Bifurcations and Bistability.- Importance Sampling for Metastable and Multiscale Dynamical Systems.- Multiscale Simulation of Stochastic Reaction-diffusion Networks.- Part II: Stochastic Numerical Approaches, Algorithms and Coarse-Grained Simulations.- Numerical Methods for Ergodic SDEs: When Stochastic Integration Meets Geometric Integration.- Stability and Strong Convergence for Spatial Stochastic Kinetics.- The T cells in an Ageing Virtual Mouse.- Part III: Analysis of Stochastic Dynamical Systems for Modeling Cell Biology.- Model reduction for Stochastic Reaction Systems.- ZI-closure Scheme: A Method to Solve and Study Stochastic Reaction Networks.- Deterministic and Stochastic Becker-Dцring Equations: Past and Recent Mathematical Developments.- Coagulation-Fragmentation with a Finite Number of Particles: Models, Stochastic Analysis and Applications to Telomere Clustering and Viral Capsid Assembly.- A Review of Stochastic and Delay Simulation Approaches in both Time and Space in Computational Cell Biology.- Part IV: Diffusion Processes and Stochastic Modeling.- Recent Mathematical Models of Axonal Transport.- Stochastic Models for Evolving Cellular Populations of Mitochondria: Disease, Development, and Ageing.- Modeling and Stochastic Analysis of the Single Photon Response.- A Phenomenological Spatial Model for Macro-ecological Patterns in Species-rich Ecosystems.


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